Scams are getting smarter. Fake messages, phishing links, job offers, payment requests, and impersonation attacks can look completely genuine.
• Scam detection
• Risk score
• Scam category
• Suspicious signals
• AI-generated explanation
• Recommended safety actions
Users can analyze messages, emails, screenshots, and suspicious URLs in one place.
Instead of simply saying “This is a scam,” our goal is to answer the more important questions:
Why is it suspicious? How risky is it? What should I do next?
Detect → Explain → Assess → Protect
Building it during our hackathon journey.
AI #OpenSourceAI #CyberSecurity #ScamDetection #MachineLearning #GenAI #Hackathon #BuildInPublic
links(github):https://github.com/Akshaya18151/Gen-Vision-Techies
links(implementation):https://drive.google.com/file/d/1eqj-LC5hLAvUE0gnN5DD-a3f8Uee5Iq6/view?usp=sharing
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